Dataset statistics
| Number of variables | 36 |
|---|---|
| Number of observations | 1033 |
| Missing cells | 1642 |
| Missing cells (%) | 4.4% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 290.7 KiB |
| Average record size in memory | 288.1 B |
Variable types
| Categorical | 9 |
|---|---|
| Boolean | 14 |
| Numeric | 13 |
AWM year 1 is highly correlated with Overall AWM | High correlation |
AWM year 2 is highly correlated with Overall AWM | High correlation |
AWM year 3 is highly correlated with Overall AWM | High correlation |
Overall AWM is highly correlated with AWM year 1 and 4 other fields | High correlation |
First Sit is highly correlated with Second Sit | High correlation |
Second Sit is highly correlated with First Sit | High correlation |
Fails is highly correlated with Overall AWM and 1 other fields | High correlation |
Pass is highly correlated with Overall AWM and 1 other fields | High correlation |
English is highly correlated with Maths | High correlation |
Maths is highly correlated with English | High correlation |
AWM year 1 is highly correlated with Overall AWM | High correlation |
AWM year 2 is highly correlated with Overall AWM | High correlation |
AWM year 3 is highly correlated with Overall AWM | High correlation |
Overall AWM is highly correlated with AWM year 1 and 4 other fields | High correlation |
First Sit is highly correlated with Second Sit | High correlation |
Second Sit is highly correlated with First Sit | High correlation |
Fails is highly correlated with Overall AWM and 1 other fields | High correlation |
Pass is highly correlated with Overall AWM and 1 other fields | High correlation |
AWM year 1 is highly correlated with Overall AWM | High correlation |
AWM year 2 is highly correlated with Overall AWM | High correlation |
Overall AWM is highly correlated with AWM year 1 and 1 other fields | High correlation |
First Sit is highly correlated with Second Sit | High correlation |
Second Sit is highly correlated with First Sit | High correlation |
Fails is highly correlated with Pass | High correlation |
Pass is highly correlated with Fails | High correlation |
Polar 4 Score is highly correlated with Bursary | High correlation |
desertion is highly correlated with Progress | High correlation |
Progress is highly correlated with desertion | High correlation |
A Levels is highly correlated with Btec | High correlation |
Bursary is highly correlated with Polar 4 Score | High correlation |
British is highly correlated with Student Visa | High correlation |
Btec is highly correlated with A Levels | High correlation |
Student Visa is highly correlated with British | High correlation |
Course is highly correlated with UCAS and 1 other fields | High correlation |
UCAS is highly correlated with Course and 1 other fields | High correlation |
Disability is highly correlated with Bursary | High correlation |
British is highly correlated with English native Language and 1 other fields | High correlation |
English native Language is highly correlated with British | High correlation |
Polar 4 Score is highly correlated with Bursary | High correlation |
SLC is highly correlated with Student Visa | High correlation |
Care Leaver is highly correlated with Refugee | High correlation |
Student Visa is highly correlated with SLC | High correlation |
Refugee is highly correlated with Care Leaver | High correlation |
London Permanent Residence is highly correlated with British | High correlation |
UCAS Points is highly correlated with English and 1 other fields | High correlation |
English is highly correlated with UCAS Points and 1 other fields | High correlation |
Maths is highly correlated with UCAS Points and 1 other fields | High correlation |
A Levels is highly correlated with Btec | High correlation |
Btec is highly correlated with A Levels | High correlation |
Bursary is highly correlated with Disability and 1 other fields | High correlation |
Attendance is highly correlated with AWM year 2 and 3 other fields | High correlation |
AWM year 1 is highly correlated with Overall AWM and 2 other fields | High correlation |
AWM year 2 is highly correlated with Course and 5 other fields | High correlation |
AWM year 3 is highly correlated with AWM year 2 and 6 other fields | High correlation |
Overall AWM is highly correlated with Attendance and 7 other fields | High correlation |
Progress is highly correlated with Attendance and 7 other fields | High correlation |
First Sit is highly correlated with Second Sit and 2 other fields | High correlation |
Second Sit is highly correlated with First Sit and 1 other fields | High correlation |
Fails is highly correlated with AWM year 3 and 4 other fields | High correlation |
No Submissions is highly correlated with First Sit and 2 other fields | High correlation |
Pass is highly correlated with AWM year 3 and 4 other fields | High correlation |
Re Takes is highly correlated with AWM year 3 and 1 other fields | High correlation |
desertion is highly correlated with UCAS and 9 other fields | High correlation |
Ethnicity has 13 (1.3%) missing values | Missing |
British has 71 (6.9%) missing values | Missing |
English native Language has 69 (6.7%) missing values | Missing |
Parent He attendance has 37 (3.6%) missing values | Missing |
Polar 4 Score has 118 (11.4%) missing values | Missing |
Care Leaver has 158 (15.3%) missing values | Missing |
Student Visa has 69 (6.7%) missing values | Missing |
UCAS Points has 54 (5.2%) missing values | Missing |
English has 160 (15.5%) missing values | Missing |
Maths has 161 (15.6%) missing values | Missing |
A Levels has 60 (5.8%) missing values | Missing |
Btec has 109 (10.6%) missing values | Missing |
Bursary has 162 (15.7%) missing values | Missing |
AWM year 2 has 109 (10.6%) missing values | Missing |
AWM year 3 has 268 (25.9%) missing values | Missing |
Second Sit has 208 (20.1%) zeros | Zeros |
Fails has 849 (82.2%) zeros | Zeros |
No Submissions has 423 (40.9%) zeros | Zeros |
Reproduction
| Analysis started | 2022-08-16 15:42:28.623929 |
|---|---|
| Analysis finished | 2022-08-16 15:43:11.380465 |
| Duration | 42.76 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
| Distinct | 13 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 2 |
| Missing (%) | 0.2% |
| Memory size | 8.2 KiB |
| BA | |
|---|---|
| ba | |
| BA Business Management Enterpreneurship and Innovation | |
| BA Business Management | |
| Ba Business Management Finance | |
| Other values (8) |
Length
| Max length | 55 |
|---|---|
| Median length | 2 |
| Mean length | 10.3986421 |
| Min length | 2 |
Characters and Unicode
| Total characters | 10721 |
|---|---|
| Distinct characters | 28 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 0.2% |
Sample
| 1st row | BA Business Manangement Enterpreneurship and Innovation |
|---|---|
| 2nd row | BA Business Management |
| 3rd row | BA Business Management Enterpreneurship and Innovation |
| 4th row | BA Business Management |
| 5th row | BA Business Management Enterpreneurship and Innovation |
Common Values
| Value | Count | Frequency (%) |
| BA | 389 | |
| ba | 380 | |
| BA Business Management Enterpreneurship and Innovation | 86 | 8.3% |
| BA Business Management | 63 | 6.1% |
| Ba Business Management Finance | 39 | 3.8% |
| BA Business Management Marketing | 37 | 3.6% |
| BA Business Management International Business | 12 | 1.2% |
| MBA | 10 | 1.0% |
| BA | 6 | 0.6% |
| Ba | 4 | 0.4% |
| Other values (3) | 5 | 0.5% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| ba | 1020 | |
| business | 253 | 13.5% |
| management | 238 | 12.7% |
| enterpreneurship | 89 | 4.7% |
| and | 89 | 4.7% |
| innovation | 89 | 4.7% |
| finance | 39 | 2.1% |
| marketing | 38 | 2.0% |
| international | 12 | 0.6% |
| mba | 11 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 1424 | |
| a | 1184 | |
| e | 1091 | |
| B | 904 | 8.4% |
| 857 | 8.0% | |
| s | 848 | 7.9% |
| A | 608 | 5.7% |
| i | 520 | 4.9% |
| t | 481 | 4.5% |
| b | 380 | 3.5% |
| Other values (18) | 2424 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 7831 | |
| Uppercase Letter | 2031 | 18.9% |
| Space Separator | 857 | 8.0% |
| Open Punctuation | 1 | < 0.1% |
| Close Punctuation | 1 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 1424 | |
| a | 1184 | |
| e | 1091 | |
| s | 848 | |
| i | 520 | 6.6% |
| t | 481 | 6.1% |
| b | 380 | 4.9% |
| u | 342 | 4.4% |
| r | 317 | 4.0% |
| g | 279 | 3.6% |
| Other values (9) | 965 |
Uppercase Letter
| Value | Count | Frequency (%) |
| B | 904 | |
| A | 608 | |
| M | 290 | 14.3% |
| I | 101 | 5.0% |
| E | 89 | 4.4% |
| F | 39 | 1.9% |
Space Separator
| Value | Count | Frequency (%) |
| 857 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 1 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 9862 | |
| Common | 859 | 8.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 1424 | |
| a | 1184 | |
| e | 1091 | |
| B | 904 | |
| s | 848 | |
| A | 608 | 6.2% |
| i | 520 | 5.3% |
| t | 481 | 4.9% |
| b | 380 | 3.9% |
| u | 342 | 3.5% |
| Other values (15) | 2080 |
Common
| Value | Count | Frequency (%) |
| 857 | ||
| ( | 1 | 0.1% |
| ) | 1 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 10721 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 1424 | |
| a | 1184 | |
| e | 1091 | |
| B | 904 | 8.4% |
| 857 | 8.0% | |
| s | 848 | 7.9% |
| A | 608 | 5.7% |
| i | 520 | 4.9% |
| t | 481 | 4.5% |
| b | 380 | 3.5% |
| Other values (18) | 2424 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 938 | |
| False | 95 | 9.2% |
25 Above
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.2 KiB |
| no | |
|---|---|
| yes | |
| no | 4 |
Length
| Max length | 3 |
|---|---|
| Median length | 2 |
| Mean length | 2.159728945 |
| Min length | 2 |
Characters and Unicode
| Total characters | 2231 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | no |
|---|---|
| 2nd row | no |
| 3rd row | no |
| 4th row | yes |
| 5th row | no |
Common Values
| Value | Count | Frequency (%) |
| no | 868 | |
| yes | 161 | 15.6% |
| no | 4 | 0.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| no | 872 | |
| yes | 161 | 15.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 872 | |
| o | 872 | |
| y | 161 | 7.2% |
| e | 161 | 7.2% |
| s | 161 | 7.2% |
| 4 | 0.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2227 | |
| Space Separator | 4 | 0.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 872 | |
| o | 872 | |
| y | 161 | 7.2% |
| e | 161 | 7.2% |
| s | 161 | 7.2% |
Space Separator
| Value | Count | Frequency (%) |
| 4 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2227 | |
| Common | 4 | 0.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 872 | |
| o | 872 | |
| y | 161 | 7.2% |
| e | 161 | 7.2% |
| s | 161 | 7.2% |
Common
| Value | Count | Frequency (%) |
| 4 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2231 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 872 | |
| o | 872 | |
| y | 161 | 7.2% |
| e | 161 | 7.2% |
| s | 161 | 7.2% |
| 4 | 0.2% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 KiB |
| False | |
|---|---|
| True | 66 |
| Value | Count | Frequency (%) |
| False | 967 | |
| True | 66 | 6.4% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 13 |
| Missing (%) | 1.3% |
| Memory size | 8.2 KiB |
| White | |
|---|---|
| Asian | |
| Black/Black British African | |
| Other ethnic background | |
| Other Black Background | 3 |
Length
| Max length | 27 |
|---|---|
| Median length | 5 |
| Mean length | 9.851960784 |
| Min length | 5 |
Characters and Unicode
| Total characters | 10049 |
|---|---|
| Distinct characters | 25 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Asian |
|---|---|
| 2nd row | White |
| 3rd row | Asian |
| 4th row | White |
| 5th row | Asian |
Common Values
| Value | Count | Frequency (%) |
| White | 501 | |
| Asian | 279 | |
| Black/Black British African | 159 | 15.4% |
| Other ethnic background | 76 | 7.4% |
| Other Black Background | 3 | 0.3% |
| Mixed White and Asian | 2 | 0.2% |
| (Missing) | 13 | 1.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| white | 503 | |
| asian | 281 | |
| black/black | 159 | 10.6% |
| british | 159 | 10.6% |
| african | 159 | 10.6% |
| other | 79 | 5.3% |
| background | 79 | 5.3% |
| ethnic | 76 | 5.1% |
| black | 3 | 0.2% |
| mixed | 2 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 1339 | |
| a | 842 | 8.4% |
| t | 817 | 8.1% |
| h | 817 | 8.1% |
| e | 660 | 6.6% |
| c | 635 | 6.3% |
| n | 597 | 5.9% |
| W | 503 | 5.0% |
| B | 483 | 4.8% |
| 482 | 4.8% | |
| Other values (15) | 2874 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 7901 | |
| Uppercase Letter | 1507 | 15.0% |
| Space Separator | 482 | 4.8% |
| Other Punctuation | 159 | 1.6% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| i | 1339 | |
| a | 842 | |
| t | 817 | |
| h | 817 | |
| e | 660 | |
| c | 635 | |
| n | 597 | |
| r | 476 | 6.0% |
| s | 440 | 5.6% |
| k | 400 | 5.1% |
| Other values (8) | 878 |
Uppercase Letter
| Value | Count | Frequency (%) |
| W | 503 | |
| B | 483 | |
| A | 440 | |
| O | 79 | 5.2% |
| M | 2 | 0.1% |
Space Separator
| Value | Count | Frequency (%) |
| 482 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 159 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 9408 | |
| Common | 641 | 6.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| i | 1339 | |
| a | 842 | 8.9% |
| t | 817 | 8.7% |
| h | 817 | 8.7% |
| e | 660 | 7.0% |
| c | 635 | 6.7% |
| n | 597 | 6.3% |
| W | 503 | 5.3% |
| B | 483 | 5.1% |
| r | 476 | 5.1% |
| Other values (13) | 2239 |
Common
| Value | Count | Frequency (%) |
| 482 | ||
| / | 159 | 24.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 10049 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| i | 1339 | |
| a | 842 | 8.4% |
| t | 817 | 8.1% |
| h | 817 | 8.1% |
| e | 660 | 6.6% |
| c | 635 | 6.3% |
| n | 597 | 5.9% |
| W | 503 | 5.0% |
| B | 483 | 4.8% |
| 482 | 4.8% | |
| Other values (15) | 2874 |
Gender
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.2 KiB |
| Male | |
|---|---|
| Female | |
| Female | 3 |
| Male | 3 |
Length
| Max length | 7 |
|---|---|
| Median length | 4 |
| Mean length | 4.768635044 |
| Min length | 4 |
Characters and Unicode
| Total characters | 4926 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Male |
|---|---|
| 2nd row | Male |
| 3rd row | Male |
| 4th row | Female |
| 5th row | Male |
Common Values
| Value | Count | Frequency (%) |
| Male | 636 | |
| Female | 391 | |
| Female | 3 | 0.3% |
| Male | 3 | 0.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| male | 639 | |
| female | 394 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1427 | |
| a | 1033 | |
| l | 1033 | |
| M | 639 | |
| F | 394 | 8.0% |
| m | 394 | 8.0% |
| 6 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3887 | |
| Uppercase Letter | 1033 | 21.0% |
| Space Separator | 6 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 1427 | |
| a | 1033 | |
| l | 1033 | |
| m | 394 | 10.1% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 639 | |
| F | 394 |
Space Separator
| Value | Count | Frequency (%) |
| 6 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4920 | |
| Common | 6 | 0.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 1427 | |
| a | 1033 | |
| l | 1033 | |
| M | 639 | |
| F | 394 | 8.0% |
| m | 394 | 8.0% |
Common
| Value | Count | Frequency (%) |
| 6 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4926 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 1427 | |
| a | 1033 | |
| l | 1033 | |
| M | 639 | |
| F | 394 | 8.0% |
| m | 394 | 8.0% |
| 6 | 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 71 |
| Missing (%) | 6.9% |
| Memory size | 2.1 KiB |
| True | |
|---|---|
| False | |
| (Missing) |
| Value | Count | Frequency (%) |
| True | 579 | |
| False | 383 | |
| (Missing) | 71 | 6.9% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 69 |
| Missing (%) | 6.7% |
| Memory size | 2.1 KiB |
| True | |
|---|---|
| False | |
| (Missing) |
| Value | Count | Frequency (%) |
| True | 497 | |
| False | 467 | |
| (Missing) | 69 | 6.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 37 |
| Missing (%) | 3.6% |
| Memory size | 2.1 KiB |
| False | |
|---|---|
| True | |
| (Missing) | 37 |
| Value | Count | Frequency (%) |
| False | 535 | |
| True | 461 | |
| (Missing) | 37 | 3.6% |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 118 |
| Missing (%) | 11.4% |
| Memory size | 8.2 KiB |
| 4.0 | |
|---|---|
| 3.0 | |
| 5.0 | |
| 2.0 | |
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2745 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4.0 |
|---|---|
| 2nd row | 2.0 |
| 3rd row | 4.0 |
| 4th row | 3.0 |
| 5th row | 4.0 |
Common Values
| Value | Count | Frequency (%) |
| 4.0 | 314 | |
| 3.0 | 223 | |
| 5.0 | 180 | |
| 2.0 | 107 | 10.4% |
| 1.0 | 91 | 8.8% |
| (Missing) | 118 | 11.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 4.0 | 314 | |
| 3.0 | 223 | |
| 5.0 | 180 | |
| 2.0 | 107 | 11.7% |
| 1.0 | 91 | 9.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 915 | |
| 0 | 915 | |
| 4 | 314 | 11.4% |
| 3 | 223 | 8.1% |
| 5 | 180 | 6.6% |
| 2 | 107 | 3.9% |
| 1 | 91 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1830 | |
| Other Punctuation | 915 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 915 | |
| 4 | 314 | 17.2% |
| 3 | 223 | 12.2% |
| 5 | 180 | 9.8% |
| 2 | 107 | 5.8% |
| 1 | 91 | 5.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 915 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2745 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| . | 915 | |
| 0 | 915 | |
| 4 | 314 | 11.4% |
| 3 | 223 | 8.1% |
| 5 | 180 | 6.6% |
| 2 | 107 | 3.9% |
| 1 | 91 | 3.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2745 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 915 | |
| 0 | 915 | |
| 4 | 314 | 11.4% |
| 3 | 223 | 8.1% |
| 5 | 180 | 6.6% |
| 2 | 107 | 3.9% |
| 1 | 91 | 3.3% |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.2 KiB |
| yes | |
|---|---|
| no | |
| no | 12 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 2.722168441 |
| Min length | 2 |
Characters and Unicode
| Total characters | 2812 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | no |
|---|---|
| 2nd row | yes |
| 3rd row | yes |
| 4th row | yes |
| 5th row | yes |
Common Values
| Value | Count | Frequency (%) |
| yes | 734 | |
| no | 287 | 27.8% |
| no | 12 | 1.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| yes | 734 | |
| no | 299 |
Most occurring characters
| Value | Count | Frequency (%) |
| y | 734 | |
| e | 734 | |
| s | 734 | |
| n | 299 | |
| o | 299 | |
| 12 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2800 | |
| Space Separator | 12 | 0.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| y | 734 | |
| e | 734 | |
| s | 734 | |
| n | 299 | |
| o | 299 |
Space Separator
| Value | Count | Frequency (%) |
| 12 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2800 | |
| Common | 12 | 0.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| y | 734 | |
| e | 734 | |
| s | 734 | |
| n | 299 | |
| o | 299 |
Common
| Value | Count | Frequency (%) |
| 12 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2812 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| y | 734 | |
| e | 734 | |
| s | 734 | |
| n | 299 | |
| o | 299 | |
| 12 | 0.4% |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 158 |
| Missing (%) | 15.3% |
| Memory size | 8.2 KiB |
| no | |
|---|---|
| no | 24 |
| yes | 19 |
| no | 1 |
Length
| Max length | 3 |
|---|---|
| Median length | 2 |
| Mean length | 2.050285714 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1794 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.1% |
Sample
| 1st row | no |
|---|---|
| 2nd row | no |
| 3rd row | no |
| 4th row | no |
| 5th row | no |
Common Values
| Value | Count | Frequency (%) |
| no | 831 | |
| no | 24 | 2.3% |
| yes | 19 | 1.8% |
| no | 1 | 0.1% |
| (Missing) | 158 | 15.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| no | 856 | |
| yes | 19 | 2.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 856 | |
| o | 856 | |
| 25 | 1.4% | |
| y | 19 | 1.1% |
| e | 19 | 1.1% |
| s | 19 | 1.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1769 | |
| Space Separator | 25 | 1.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 856 | |
| o | 856 | |
| y | 19 | 1.1% |
| e | 19 | 1.1% |
| s | 19 | 1.1% |
Space Separator
| Value | Count | Frequency (%) |
| 25 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1769 | |
| Common | 25 | 1.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 856 | |
| o | 856 | |
| y | 19 | 1.1% |
| e | 19 | 1.1% |
| s | 19 | 1.1% |
Common
| Value | Count | Frequency (%) |
| 25 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1794 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 856 | |
| o | 856 | |
| 25 | 1.4% | |
| y | 19 | 1.1% |
| e | 19 | 1.1% |
| s | 19 | 1.1% |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 69 |
| Missing (%) | 6.7% |
| Memory size | 8.2 KiB |
| no | |
|---|---|
| yes | |
| no | 17 |
Length
| Max length | 3 |
|---|---|
| Median length | 2 |
| Mean length | 2.178423237 |
| Min length | 2 |
Characters and Unicode
| Total characters | 2100 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | yes |
|---|---|
| 2nd row | no |
| 3rd row | no |
| 4th row | no |
| 5th row | no |
Common Values
| Value | Count | Frequency (%) |
| no | 792 | |
| yes | 155 | 15.0% |
| no | 17 | 1.6% |
| (Missing) | 69 | 6.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| no | 809 | |
| yes | 155 | 16.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 809 | |
| o | 809 | |
| y | 155 | 7.4% |
| e | 155 | 7.4% |
| s | 155 | 7.4% |
| 17 | 0.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2083 | |
| Space Separator | 17 | 0.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 809 | |
| o | 809 | |
| y | 155 | 7.4% |
| e | 155 | 7.4% |
| s | 155 | 7.4% |
Space Separator
| Value | Count | Frequency (%) |
| 17 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2083 | |
| Common | 17 | 0.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 809 | |
| o | 809 | |
| y | 155 | 7.4% |
| e | 155 | 7.4% |
| s | 155 | 7.4% |
Common
| Value | Count | Frequency (%) |
| 17 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2100 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 809 | |
| o | 809 | |
| y | 155 | 7.4% |
| e | 155 | 7.4% |
| s | 155 | 7.4% |
| 17 | 0.8% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 7 |
| Missing (%) | 0.7% |
| Memory size | 2.1 KiB |
| False | |
|---|---|
| True | 24 |
| (Missing) | 7 |
| Value | Count | Frequency (%) |
| False | 1002 | |
| True | 24 | 2.3% |
| (Missing) | 7 | 0.7% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 5 |
| Missing (%) | 0.5% |
| Memory size | 2.1 KiB |
| True | |
|---|---|
| False | |
| (Missing) | 5 |
| Value | Count | Frequency (%) |
| True | 568 | |
| False | 460 | |
| (Missing) | 5 | 0.5% |
| Distinct | 60 |
|---|---|
| Distinct (%) | 6.1% |
| Missing | 54 |
| Missing (%) | 5.2% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 109.113381 |
| Minimum | 72 |
|---|---|
| Maximum | 168 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 72 |
|---|---|
| 5-th percentile | 82 |
| Q1 | 96 |
| median | 104 |
| Q3 | 120 |
| 95-th percentile | 152 |
| Maximum | 168 |
| Range | 96 |
| Interquartile range (IQR) | 24 |
Descriptive statistics
| Standard deviation | 20.20580245 |
|---|---|
| Coefficient of variation (CV) | 0.1851817098 |
| Kurtosis | 0.8416214006 |
| Mean | 109.113381 |
| Median Absolute Deviation (MAD) | 11 |
| Skewness | 0.9814397744 |
| Sum | 106822 |
| Variance | 408.2744527 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 96 | 84 | 8.1% |
| 104 | 51 | 4.9% |
| 128 | 47 | 4.5% |
| 80 | 36 | 3.5% |
| 120 | 36 | 3.5% |
| 112 | 35 | 3.4% |
| 84 | 35 | 3.4% |
| 88 | 33 | 3.2% |
| 100 | 33 | 3.2% |
| 103 | 30 | 2.9% |
| Other values (50) | 559 | |
| (Missing) | 54 | 5.2% |
| Value | Count | Frequency (%) |
| 72 | 4 | 0.4% |
| 80 | 36 | |
| 82 | 22 | |
| 84 | 35 | |
| 85 | 1 | 0.1% |
| 86 | 10 | 1.0% |
| 87 | 5 | 0.5% |
| 88 | 33 | |
| 89 | 7 | 0.7% |
| 90 | 6 | 0.6% |
| Value | Count | Frequency (%) |
| 168 | 25 | |
| 162 | 5 | 0.5% |
| 160 | 8 | 0.8% |
| 155 | 1 | 0.1% |
| 153 | 8 | 0.8% |
| 152 | 15 | |
| 148 | 6 | 0.6% |
| 146 | 4 | 0.4% |
| 144 | 18 | |
| 136 | 6 | 0.6% |
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 160 |
| Missing (%) | 15.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.924398625 |
| Minimum | 2 |
|---|---|
| Maximum | 9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 4 |
| median | 5 |
| Q3 | 6 |
| 95-th percentile | 8 |
| Maximum | 9 |
| Range | 7 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.385131692 |
|---|---|
| Coefficient of variation (CV) | 0.2812793596 |
| Kurtosis | 0.3617214903 |
| Mean | 4.924398625 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.7507784704 |
| Sum | 4299 |
| Variance | 1.918589804 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 4 | 290 | |
| 5 | 256 | |
| 6 | 120 | |
| 3 | 82 | 7.9% |
| 8 | 53 | 5.1% |
| 7 | 51 | 4.9% |
| 2 | 11 | 1.1% |
| 9 | 10 | 1.0% |
| (Missing) | 160 |
| Value | Count | Frequency (%) |
| 2 | 11 | 1.1% |
| 3 | 82 | 7.9% |
| 4 | 290 | |
| 5 | 256 | |
| 6 | 120 | |
| 7 | 51 | 4.9% |
| 8 | 53 | 5.1% |
| 9 | 10 | 1.0% |
| Value | Count | Frequency (%) |
| 9 | 10 | 1.0% |
| 8 | 53 | 5.1% |
| 7 | 51 | 4.9% |
| 6 | 120 | |
| 5 | 256 | |
| 4 | 290 | |
| 3 | 82 | 7.9% |
| 2 | 11 | 1.1% |
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 161 |
| Missing (%) | 15.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.774082569 |
| Minimum | 2 |
|---|---|
| Maximum | 9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 4 |
| median | 5 |
| Q3 | 5 |
| 95-th percentile | 7 |
| Maximum | 9 |
| Range | 7 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.19916459 |
|---|---|
| Coefficient of variation (CV) | 0.2511822057 |
| Kurtosis | 0.761532845 |
| Mean | 4.774082569 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.569859444 |
| Sum | 4163 |
| Variance | 1.437995713 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 4 | 345 | |
| 5 | 256 | |
| 6 | 124 | 12.0% |
| 7 | 60 | 5.8% |
| 3 | 46 | 4.5% |
| 2 | 22 | 2.1% |
| 8 | 14 | 1.4% |
| 9 | 5 | 0.5% |
| (Missing) | 161 |
| Value | Count | Frequency (%) |
| 2 | 22 | 2.1% |
| 3 | 46 | 4.5% |
| 4 | 345 | |
| 5 | 256 | |
| 6 | 124 | 12.0% |
| 7 | 60 | 5.8% |
| 8 | 14 | 1.4% |
| 9 | 5 | 0.5% |
| Value | Count | Frequency (%) |
| 9 | 5 | 0.5% |
| 8 | 14 | 1.4% |
| 7 | 60 | 5.8% |
| 6 | 124 | 12.0% |
| 5 | 256 | |
| 4 | 345 | |
| 3 | 46 | 4.5% |
| 2 | 22 | 2.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 60 |
| Missing (%) | 5.8% |
| Memory size | 2.1 KiB |
| True | |
|---|---|
| False | |
| (Missing) |
| Value | Count | Frequency (%) |
| True | 519 | |
| False | 454 | |
| (Missing) | 60 | 5.8% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 109 |
| Missing (%) | 10.6% |
| Memory size | 2.1 KiB |
| False | |
|---|---|
| True | |
| (Missing) |
| Value | Count | Frequency (%) |
| False | 545 | |
| True | 379 | |
| (Missing) | 109 | 10.6% |
Previous work
Boolean
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 3 |
| Missing (%) | 0.3% |
| Memory size | 2.1 KiB |
| True | |
|---|---|
| False | |
| (Missing) | 3 |
| Value | Count | Frequency (%) |
| True | 538 | |
| False | 492 | |
| (Missing) | 3 | 0.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 162 |
| Missing (%) | 15.7% |
| Memory size | 2.1 KiB |
| False | |
|---|---|
| True | |
| (Missing) |
| Value | Count | Frequency (%) |
| False | 626 | |
| True | 245 | 23.7% |
| (Missing) | 162 | 15.7% |
| Distinct | 63 |
|---|---|
| Distinct (%) | 6.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 75.08712488 |
| Minimum | 20 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 20 |
|---|---|
| 5-th percentile | 46 |
| Q1 | 64 |
| median | 76 |
| Q3 | 88 |
| 95-th percentile | 97 |
| Maximum | 100 |
| Range | 80 |
| Interquartile range (IQR) | 24 |
Descriptive statistics
| Standard deviation | 15.73841886 |
|---|---|
| Coefficient of variation (CV) | 0.2096020974 |
| Kurtosis | -0.6273441074 |
| Mean | 75.08712488 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | -0.3975210015 |
| Sum | 77565 |
| Variance | 247.6978283 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 60 | 34 | 3.3% |
| 92 | 31 | 3.0% |
| 95 | 29 | 2.8% |
| 74 | 28 | 2.7% |
| 96 | 27 | 2.6% |
| 90 | 27 | 2.6% |
| 81 | 27 | 2.6% |
| 72 | 26 | 2.5% |
| 65 | 25 | 2.4% |
| 94 | 25 | 2.4% |
| Other values (53) | 754 |
| Value | Count | Frequency (%) |
| 20 | 1 | 0.1% |
| 25 | 1 | 0.1% |
| 40 | 6 | |
| 41 | 6 | |
| 42 | 14 | |
| 43 | 3 | 0.3% |
| 44 | 8 | |
| 45 | 12 | |
| 46 | 7 | |
| 47 | 10 |
| Value | Count | Frequency (%) |
| 100 | 15 | |
| 99 | 15 | |
| 98 | 20 | |
| 97 | 15 | |
| 96 | 27 | |
| 95 | 29 | |
| 94 | 25 | |
| 93 | 13 | |
| 92 | 31 | |
| 91 | 16 |
| Distinct | 56 |
|---|---|
| Distinct (%) | 5.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 58.72700871 |
| Minimum | 30 |
|---|---|
| Maximum | 85 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 30 |
|---|---|
| 5-th percentile | 40 |
| Q1 | 46 |
| median | 58 |
| Q3 | 71 |
| 95-th percentile | 82 |
| Maximum | 85 |
| Range | 55 |
| Interquartile range (IQR) | 25 |
Descriptive statistics
| Standard deviation | 14.24729732 |
|---|---|
| Coefficient of variation (CV) | 0.2426021287 |
| Kurtosis | -1.118926416 |
| Mean | 58.72700871 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | 0.1421297796 |
| Sum | 60665 |
| Variance | 202.9854811 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 41 | 38 | 3.7% |
| 44 | 34 | 3.3% |
| 43 | 34 | 3.3% |
| 45 | 34 | 3.3% |
| 47 | 31 | 3.0% |
| 46 | 29 | 2.8% |
| 80 | 29 | 2.8% |
| 42 | 28 | 2.7% |
| 40 | 27 | 2.6% |
| 50 | 26 | 2.5% |
| Other values (46) | 723 |
| Value | Count | Frequency (%) |
| 30 | 5 | |
| 31 | 4 | |
| 32 | 5 | |
| 33 | 5 | |
| 34 | 4 | |
| 35 | 5 | |
| 36 | 6 | |
| 37 | 2 | 0.2% |
| 38 | 6 | |
| 39 | 6 |
| Value | Count | Frequency (%) |
| 85 | 19 | |
| 84 | 17 | |
| 83 | 12 | |
| 82 | 13 | |
| 81 | 8 | 0.8% |
| 80 | 29 | |
| 79 | 17 | |
| 78 | 13 | |
| 77 | 24 | |
| 76 | 20 |
| Distinct | 58 |
|---|---|
| Distinct (%) | 6.3% |
| Missing | 109 |
| Missing (%) | 10.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 60.36255411 |
| Minimum | 0 |
|---|---|
| Maximum | 87 |
| Zeros | 2 |
| Zeros (%) | 0.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 35 |
| Q1 | 48 |
| median | 60 |
| Q3 | 74 |
| 95-th percentile | 83 |
| Maximum | 87 |
| Range | 87 |
| Interquartile range (IQR) | 26 |
Descriptive statistics
| Standard deviation | 15.49261678 |
|---|---|
| Coefficient of variation (CV) | 0.2566593977 |
| Kurtosis | -0.7365486038 |
| Mean | 60.36255411 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | -0.1855494005 |
| Sum | 55775 |
| Variance | 240.0211748 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 79 | 27 | 2.6% |
| 40 | 27 | 2.6% |
| 55 | 25 | 2.4% |
| 71 | 25 | 2.4% |
| 62 | 23 | 2.2% |
| 49 | 23 | 2.2% |
| 81 | 23 | 2.2% |
| 46 | 22 | 2.1% |
| 83 | 22 | 2.1% |
| 58 | 21 | 2.0% |
| Other values (48) | 686 | |
| (Missing) | 109 | 10.6% |
| Value | Count | Frequency (%) |
| 0 | 2 | 0.2% |
| 30 | 3 | 0.3% |
| 31 | 6 | |
| 32 | 11 | |
| 33 | 9 | |
| 34 | 6 | |
| 35 | 14 | |
| 36 | 7 | |
| 37 | 5 | 0.5% |
| 38 | 12 |
| Value | Count | Frequency (%) |
| 87 | 12 | |
| 85 | 15 | |
| 84 | 14 | |
| 83 | 22 | |
| 82 | 18 | |
| 81 | 23 | |
| 80 | 16 | |
| 79 | 27 | |
| 78 | 19 | |
| 77 | 18 |
| Distinct | 57 |
|---|---|
| Distinct (%) | 7.5% |
| Missing | 268 |
| Missing (%) | 25.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 58.43529412 |
| Minimum | 0 |
|---|---|
| Maximum | 85 |
| Zeros | 7 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 36 |
| Q1 | 45 |
| median | 58 |
| Q3 | 71 |
| 95-th percentile | 82 |
| Maximum | 85 |
| Range | 85 |
| Interquartile range (IQR) | 26 |
Descriptive statistics
| Standard deviation | 15.73646044 |
|---|---|
| Coefficient of variation (CV) | 0.269297189 |
| Kurtosis | 0.175645233 |
| Mean | 58.43529412 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | -0.3348012543 |
| Sum | 44703 |
| Variance | 247.6361872 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 43 | 25 | 2.4% |
| 44 | 24 | 2.3% |
| 41 | 24 | 2.3% |
| 52 | 22 | 2.1% |
| 63 | 20 | 1.9% |
| 45 | 20 | 1.9% |
| 76 | 19 | 1.8% |
| 66 | 19 | 1.8% |
| 65 | 19 | 1.8% |
| 42 | 19 | 1.8% |
| Other values (47) | 554 | |
| (Missing) | 268 |
| Value | Count | Frequency (%) |
| 0 | 7 | |
| 30 | 2 | 0.2% |
| 31 | 6 | |
| 32 | 2 | 0.2% |
| 33 | 5 | |
| 34 | 5 | |
| 35 | 7 | |
| 36 | 10 | |
| 37 | 12 | |
| 38 | 4 | 0.4% |
| Value | Count | Frequency (%) |
| 85 | 13 | |
| 84 | 15 | |
| 83 | 10 | |
| 82 | 17 | |
| 81 | 6 | 0.6% |
| 80 | 17 | |
| 79 | 13 | |
| 78 | 12 | |
| 77 | 12 | |
| 76 | 19 |
| Distinct | 166 |
|---|---|
| Distinct (%) | 16.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 58.11777993 |
| Minimum | 20.5 |
|---|---|
| Maximum | 84 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 20.5 |
|---|---|
| 5-th percentile | 38 |
| Q1 | 51 |
| median | 59.33333333 |
| Q3 | 66.33333333 |
| 95-th percentile | 74.66666667 |
| Maximum | 84 |
| Range | 63.5 |
| Interquartile range (IQR) | 15.33333333 |
Descriptive statistics
| Standard deviation | 11.2515911 |
|---|---|
| Coefficient of variation (CV) | 0.1935998091 |
| Kurtosis | -0.2921185457 |
| Mean | 58.11777993 |
| Median Absolute Deviation (MAD) | 7.333333333 |
| Skewness | -0.4229072332 |
| Sum | 60035.66667 |
| Variance | 126.5983022 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 59.33333333 | 25 | 2.4% |
| 58.33333333 | 19 | 1.8% |
| 67.33333333 | 17 | 1.6% |
| 60 | 17 | 1.6% |
| 67 | 16 | 1.5% |
| 64 | 16 | 1.5% |
| 60.66666667 | 16 | 1.5% |
| 57 | 15 | 1.5% |
| 61 | 15 | 1.5% |
| 56.33333333 | 15 | 1.5% |
| Other values (156) | 862 |
| Value | Count | Frequency (%) |
| 20.5 | 1 | 0.1% |
| 27.33333333 | 1 | 0.1% |
| 27.66666667 | 1 | 0.1% |
| 30 | 5 | |
| 31 | 4 | |
| 32 | 5 | |
| 33 | 5 | |
| 34 | 4 | |
| 35 | 6 | |
| 36 | 8 |
| Value | Count | Frequency (%) |
| 84 | 1 | 0.1% |
| 82.66666667 | 1 | 0.1% |
| 82 | 2 | |
| 81 | 2 | |
| 80.66666667 | 1 | 0.1% |
| 80.5 | 1 | 0.1% |
| 80.33333333 | 2 | |
| 80 | 3 | |
| 79 | 3 | |
| 78.5 | 1 | 0.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 KiB |
| True | |
|---|---|
| False |
| Value | Count | Frequency (%) |
| True | 849 | |
| False | 184 | 17.8% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.016456922 |
| Minimum | 1 |
|---|---|
| Maximum | 6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 3 |
| median | 4 |
| Q3 | 5 |
| 95-th percentile | 6 |
| Maximum | 6 |
| Range | 5 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.303216144 |
|---|---|
| Coefficient of variation (CV) | 0.3244690954 |
| Kurtosis | -0.7034862085 |
| Mean | 4.016456922 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.024766854 |
| Sum | 4149 |
| Variance | 1.698372318 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 3 | 373 | |
| 4 | 219 | |
| 6 | 189 | |
| 5 | 183 | |
| 2 | 36 | 3.5% |
| 1 | 33 | 3.2% |
| Value | Count | Frequency (%) |
| 1 | 33 | 3.2% |
| 2 | 36 | 3.5% |
| 3 | 373 | |
| 4 | 219 | |
| 5 | 183 | |
| 6 | 189 |
| Value | Count | Frequency (%) |
| 6 | 189 | |
| 5 | 183 | |
| 4 | 219 | |
| 3 | 373 | |
| 2 | 36 | 3.5% |
| 1 | 33 | 3.2% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 7 |
| Missing (%) | 0.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.834307992 |
| Minimum | 0 |
|---|---|
| Maximum | 5 |
| Zeros | 208 |
| Zeros (%) | 20.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 3 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.250885485 |
|---|---|
| Coefficient of variation (CV) | 0.6819386331 |
| Kurtosis | -0.8041322648 |
| Mean | 1.834307992 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.01403697631 |
| Sum | 1882 |
| Variance | 1.564714496 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 3 | 349 | |
| 2 | 232 | |
| 0 | 208 | |
| 1 | 199 | |
| 5 | 20 | 1.9% |
| 4 | 18 | 1.7% |
| (Missing) | 7 | 0.7% |
| Value | Count | Frequency (%) |
| 0 | 208 | |
| 1 | 199 | |
| 2 | 232 | |
| 3 | 349 | |
| 4 | 18 | 1.7% |
| 5 | 20 | 1.9% |
| Value | Count | Frequency (%) |
| 5 | 20 | 1.9% |
| 4 | 18 | 1.7% |
| 3 | 349 | |
| 2 | 232 | |
| 1 | 199 | |
| 0 | 208 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.5634075508 |
| Minimum | 0 |
|---|---|
| Maximum | 5 |
| Zeros | 849 |
| Zeros (%) | 82.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 4 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.308920203 |
|---|---|
| Coefficient of variation (CV) | 2.32322091 |
| Kurtosis | 3.602760227 |
| Mean | 0.5634075508 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.210902342 |
| Sum | 582 |
| Variance | 1.713272098 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 849 | |
| 2 | 53 | 5.1% |
| 3 | 50 | 4.8% |
| 4 | 39 | 3.8% |
| 5 | 32 | 3.1% |
| 1 | 10 | 1.0% |
| Value | Count | Frequency (%) |
| 0 | 849 | |
| 1 | 10 | 1.0% |
| 2 | 53 | 5.1% |
| 3 | 50 | 4.8% |
| 4 | 39 | 3.8% |
| 5 | 32 | 3.1% |
| Value | Count | Frequency (%) |
| 5 | 32 | 3.1% |
| 4 | 39 | 3.8% |
| 3 | 50 | 4.8% |
| 2 | 53 | 5.1% |
| 1 | 10 | 1.0% |
| 0 | 849 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.234269119 |
| Minimum | 0 |
|---|---|
| Maximum | 5 |
| Zeros | 423 |
| Zeros (%) | 40.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 4 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.363742454 |
|---|---|
| Coefficient of variation (CV) | 1.104898788 |
| Kurtosis | -0.06660940015 |
| Mean | 1.234269119 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.9492579822 |
| Sum | 1275 |
| Variance | 1.859793482 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 423 | |
| 1 | 253 | |
| 2 | 165 | 16.0% |
| 3 | 96 | 9.3% |
| 4 | 76 | 7.4% |
| 5 | 20 | 1.9% |
| Value | Count | Frequency (%) |
| 0 | 423 | |
| 1 | 253 | |
| 2 | 165 | 16.0% |
| 3 | 96 | 9.3% |
| 4 | 76 | 7.4% |
| 5 | 20 | 1.9% |
| Value | Count | Frequency (%) |
| 5 | 20 | 1.9% |
| 4 | 76 | 7.4% |
| 3 | 96 | 9.3% |
| 2 | 165 | 16.0% |
| 1 | 253 | |
| 0 | 423 |
Late Submission
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 8.2 KiB |
| 1 | |
|---|---|
| 0 | |
| 2 | |
| 3 | 25 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 1033 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 424 | |
| 0 | 409 | |
| 2 | 175 | |
| 3 | 25 | 2.4% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 424 | |
| 0 | 409 | |
| 2 | 175 | |
| 3 | 25 | 2.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 424 | |
| 0 | 409 | |
| 2 | 175 | |
| 3 | 25 | 2.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1033 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 424 | |
| 0 | 409 | |
| 2 | 175 | |
| 3 | 25 | 2.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1033 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 424 | |
| 0 | 409 | |
| 2 | 175 | |
| 3 | 25 | 2.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1033 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 424 | |
| 0 | 409 | |
| 2 | 175 | |
| 3 | 25 | 2.4% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 91.62891255 |
| Minimum | 16.66666667 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 8.2 KiB |
Quantile statistics
| Minimum | 16.66666667 |
|---|---|
| 5-th percentile | 33.33333333 |
| Q1 | 100 |
| median | 100 |
| Q3 | 100 |
| 95-th percentile | 100 |
| Maximum | 100 |
| Range | 83.33333333 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 19.82447674 |
|---|---|
| Coefficient of variation (CV) | 0.2163561281 |
| Kurtosis | 3.843668329 |
| Mean | 91.62891255 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -2.273931639 |
| Sum | 94652.66667 |
| Variance | 393.0098782 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 100 | 849 | |
| 33.33333333 | 52 | 5.0% |
| 50 | 50 | 4.8% |
| 66.66666667 | 39 | 3.8% |
| 83.33333333 | 32 | 3.1% |
| 16.66666667 | 10 | 1.0% |
| 86 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 16.66666667 | 10 | 1.0% |
| 33.33333333 | 52 | 5.0% |
| 50 | 50 | 4.8% |
| 66.66666667 | 39 | 3.8% |
| 83.33333333 | 32 | 3.1% |
| 86 | 1 | 0.1% |
| 100 | 849 |
| Value | Count | Frequency (%) |
| 100 | 849 | |
| 86 | 1 | 0.1% |
| 83.33333333 | 32 | 3.1% |
| 66.66666667 | 39 | 3.8% |
| 50 | 50 | 4.8% |
| 33.33333333 | 52 | 5.0% |
| 16.66666667 | 10 | 1.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 878 | |
| True | 155 | 15.0% |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Course | UCAS | 25 Above | Disability | Ethnicity | Gender | British | English native Language | Parent He attendance | Polar 4 Score | SLC | Care Leaver | Student Visa | Refugee | London Permanent Residence | UCAS Points | English | Maths | A Levels | Btec | Previous work | Bursary | Attendance | AWM year 1 | AWM year 2 | AWM year 3 | Overall AWM | Progress | First Sit | Second Sit | Fails | No Submissions | Late Submission | Pass | Re Takes | desertion | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | BA Business Manangement Enterpreneurship and Innovation | no | no | no | Asian | Male | no | no | yes | 4.0 | no | no | yes | no | yes | 98.0 | 5.0 | 4.0 | yes | no | yes | no | 86 | 85 | 58.0 | 43.0 | 62.000000 | yes | 3 | 3.0 | 0 | 2 | 2 | 100.000000 | yes | no |
| 1 | BA Business Management | no | no | no | White | Male | no | no | yes | 2.0 | yes | no | no | no | no | 101.0 | 5.0 | 5.0 | yes | no | yes | yes | 55 | 40 | 32.0 | NaN | 36.000000 | no | 1 | 2.0 | 5 | 3 | 0 | 83.333333 | no | yes |
| 2 | BA Business Management Enterpreneurship and Innovation | no | no | no | Asian | Male | yes | yes | yes | 4.0 | yes | no | no | no | yes | 129.0 | 4.0 | 4.0 | yes | no | yes | no | 57 | 41 | NaN | NaN | 41.000000 | yes | 6 | 0.0 | 0 | 0 | 0 | 100.000000 | no | yes |
| 3 | BA Business Management | no | yes | no | White | Female | no | no | no | 3.0 | yes | no | no | no | yes | 110.0 | 9.0 | 8.0 | yes | no | yes | no | 48 | 41 | 43.0 | NaN | 42.000000 | yes | 6 | 0.0 | 0 | 0 | 0 | 100.000000 | no | yes |
| 4 | BA Business Management Enterpreneurship and Innovation | no | no | no | Asian | Male | yes | yes | yes | 4.0 | yes | no | no | no | yes | 130.0 | 6.0 | 5.0 | yes | no | yes | no | 83 | 55 | 49.0 | 59.0 | 54.333333 | yes | 4 | 2.0 | 0 | 2 | 0 | 100.000000 | no | no |
| 5 | BA Business Management Enterpreneurship and Innovation | yes | no | no | Asian | Male | yes | yes | yes | 3.0 | yes | no | no | no | yes | 112.0 | 6.0 | 4.0 | no | yes | no | no | 71 | 46 | 46.0 | 43.0 | 45.000000 | yes | 3 | 3.0 | 0 | 0 | 1 | 100.000000 | no | no |
| 6 | BA Business Management Marketing | yes | no | no | White | Male | no | yes | no | 5.0 | no | no | yes | no | no | 89.0 | 6.0 | 5.0 | yes | no | no | no | 96 | 78 | 70.0 | 79.0 | 75.666667 | yes | 4 | 2.0 | 0 | 0 | 2 | 100.000000 | no | no |
| 7 | BA Business Management Enterpreneurship and Innovation | yes | no | no | White | Male | yes | yes | no | 4.0 | yes | no | no | no | yes | 103.0 | 4.0 | 5.0 | yes | no | no | no | 67 | 43 | 85.0 | 61.0 | 63.000000 | yes | 3 | 3.0 | 0 | 3 | 0 | 100.000000 | no | no |
| 8 | BA Business Management Enterpreneurship and Innovation | yes | no | no | White | Male | yes | yes | no | 2.0 | no | no | no | no | yes | 128.0 | 4.0 | 4.0 | no | yes | no | yes | 89 | 76 | 58.0 | 44.0 | 59.333333 | yes | 6 | 0.0 | 0 | 0 | 0 | 100.000000 | no | no |
| 9 | BA Business Management | yes | no | no | White | Female | yes | yes | no | NaN | no | no | no | no | no | 91.0 | 4.0 | 4.0 | no | no | no | no | 92 | 49 | 83.0 | 67.0 | 66.333333 | yes | 6 | 0.0 | 0 | 1 | 1 | 100.000000 | no | no |
Last rows
| Course | UCAS | 25 Above | Disability | Ethnicity | Gender | British | English native Language | Parent He attendance | Polar 4 Score | SLC | Care Leaver | Student Visa | Refugee | London Permanent Residence | UCAS Points | English | Maths | A Levels | Btec | Previous work | Bursary | Attendance | AWM year 1 | AWM year 2 | AWM year 3 | Overall AWM | Progress | First Sit | Second Sit | Fails | No Submissions | Late Submission | Pass | Re Takes | desertion | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1023 | BA | yes | no | no | Asian | Male | no | no | yes | 5.0 | yes | no | no | no | no | 107.0 | 6.0 | 7.0 | no | yes | no | no | 96 | 80 | NaN | NaN | 80.0 | yes | 6 | 0.0 | 0 | 0 | 1 | 100.000000 | no | no |
| 1024 | BA | yes | yes | no | White | Male | yes | NaN | no | 3.0 | yes | no | no | no | no | 103.0 | 5.0 | 6.0 | no | yes | yes | no | 67 | 40 | NaN | NaN | 40.0 | yes | 1 | 5.0 | 0 | 3 | 0 | 100.000000 | no | no |
| 1025 | BA | yes | no | no | NaN | Male | yes | NaN | yes | 4.0 | yes | NaN | no | no | no | 100.0 | 5.0 | 4.0 | yes | no | yes | no | 70 | 53 | NaN | NaN | 53.0 | yes | 6 | 0.0 | 0 | 0 | 1 | 100.000000 | no | no |
| 1026 | BA | yes | yes | no | NaN | Female | no | no | yes | 3.0 | yes | NaN | no | no | no | 113.0 | 3.0 | 6.0 | no | yes | no | no | 64 | 73 | NaN | NaN | 73.0 | yes | 3 | 3.0 | 0 | 2 | 1 | 100.000000 | no | no |
| 1027 | BA | yes | yes | no | NaN | Male | yes | no | yes | 2.0 | yes | NaN | no | no | yes | 118.0 | 5.0 | 5.0 | yes | no | yes | yes | 96 | 68 | NaN | NaN | 68.0 | yes | 3 | 3.0 | 0 | 1 | 0 | 100.000000 | no | no |
| 1028 | BA | yes | no | no | Other ethnic background | Female | no | yes | no | 5.0 | yes | NaN | no | no | no | 102.0 | 4.0 | 4.0 | yes | no | yes | no | 55 | 45 | NaN | NaN | 45.0 | yes | 6 | 0.0 | 0 | 0 | 1 | 100.000000 | no | yes |
| 1029 | BA | yes | no | no | NaN | Male | yes | yes | yes | 4.0 | yes | no | no | no | yes | 109.0 | 4.0 | 4.0 | yes | no | yes | no | 66 | 77 | NaN | NaN | 77.0 | yes | 6 | 0.0 | 0 | 0 | 0 | 100.000000 | no | no |
| 1030 | BA | no | yes | no | Asian | Female | no | no | no | 3.0 | no | no | no | no | no | 104.0 | 6.0 | 5.0 | yes | no | yes | no | 42 | 33 | NaN | NaN | 33.0 | no | 1 | 1.0 | 2 | 4 | 1 | 33.333333 | yes | yes |
| 1031 | BA | no | yes | no | Other ethnic background | Male | no | no | yes | 4.0 | yes | no | no | no | no | 101.0 | 6.0 | 6.0 | no | yes | no | no | 60 | 76 | NaN | NaN | 76.0 | yes | 6 | 0.0 | 0 | 0 | 0 | 100.000000 | no | no |
| 1032 | BA | no | yes | no | Other ethnic background | Female | no | no | no | NaN | no | no | yes | no | no | 104.0 | 8.0 | 4.0 | no | no | no | no | 71 | 80 | NaN | NaN | 80.0 | yes | 6 | 0.0 | 0 | 0 | 0 | 100.000000 | no | no |